Relevant bibliographies by topics / Trait quantitative

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Trait quantitative'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Trait quantitative"

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Yamamichi, Masato, and Stephen P. Ellner. "Antagonistic coevolution between quantitative and Mendelian traits." Proceedings of the Royal Society B: Biological Sciences 283, no. 1827 (2016): 20152926. http://dx.doi.org/10.1098/rspb.2015.2926.

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Coevolution is relentlessly creating and maintaining biodiversity and therefore has been a central topic in evolutionary biology. Previous theoretical studies have mostly considered coevolution between genetically symmetric traits (i.e. coevolution between two continuous quantitative traits or two discrete Mendelian traits). However, recent empirical evidence indicates that coevolution can occur between genetically asymmetric traits (e.g. between quantitative and Mendelian traits). We examine consequences of antagonistic coevolution mediated by a quantitative predator trait and a Mendelian pre
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Flint, Jonathan. "Mapping quantitative traits and strategies to find quantitative trait genes." Methods 53, no. 2 (2011): 163–74. http://dx.doi.org/10.1016/j.ymeth.2010.07.007.

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Peters, Luanne L., Amy J. Lambert, Weidong Zhang, Gary A. Churchill, Carlo Brugnara, and Orah S. Platt. "Quantitative trait loci for baseline erythroid traits." Mammalian Genome 17, no. 4 (2006): 298–309. http://dx.doi.org/10.1007/s00335-005-0147-3.

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Korol, Abraham B., Yefim I. Ronin, Alexander M. Itskovich, Junhua Peng, and Eviatar Nevo. "Enhanced Efficiency of Quantitative Trait Loci Mapping Analysis Based on Multivariate Complexes of Quantitative Traits." Genetics 157, no. 4 (2001): 1789–803. http://dx.doi.org/10.1093/genetics/157.4.1789.

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AbstractAn approach to increase the efficiency of mapping quantitative trait loci (QTL) was proposed earlier by the authors on the basis of bivariate analysis of correlated traits. The power of QTL detection using the log-likelihood ratio (LOD scores) grows proportionally to the broad sense heritability. We found that this relationship holds also for correlated traits, so that an increased bivariate heritability implicates a higher LOD score, higher detection power, and better mapping resolution. However, the increased number of parameters to be estimated complicates the application of this ap
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Mayo, O. "Interaction and quantitative trait loci." Australian Journal of Experimental Agriculture 44, no. 11 (2004): 1135. http://dx.doi.org/10.1071/ea03240.

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Parallel searches for quantitative trait loci (QTL) for growth-related traits in different populations frequently detect sets of QTL that hardly overlap. Thus, many QTL potentially exist. Tools for the detection of QTL that interact are available and are currently being tested. Initial results suggest that epistasis is widespread. Modelling of the first recognised interaction, dominance, continues to be developed. Multigenic interaction appears to be a necessary part of any explanation. This paper covers an attempt to link some of these studies and to draw inferences about useful approaches to
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Tsilo, T. J., J. B. Ohm, G. A. Hareland, S. Chao, and J. A. Anderson. "Quantitative trait loci influencing end-use quality traits of hard red spring wheat breeding lines." Czech Journal of Genetics and Plant Breeding 47, Special Issue (2011): S190—S195. http://dx.doi.org/10.17221/3279-cjgpb.

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Wheat bread-making quality is influenced by a complex group of traits including dough visco-elastic characteristics. In this study, quantitative trait locus/loci (QTL) mapping and analysis were conducted for endosperm polymeric proteins together with dough mixing strength and bread-making properties in a population of 139 (MN98550 × MN99394) recombinant inbred lines that was evaluated at three environments in 2006. Eleven chromosome regions were associated with endosperm polymeric proteins, explaining 4.2–31.8% of the phenotypic variation. Most of these polymeric p
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Korol, A. B., Y. I. Ronin, and V. M. Kirzhner. "Interval mapping of quantitative trait loci employing correlated trait complexes." Genetics 140, no. 3 (1995): 1137–47. http://dx.doi.org/10.1093/genetics/140.3.1137.

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Abstract An approach to increase the resolution power of interval mapping of quantitative trait (QT) loci is proposed, based on analysis of correlated trait complexes. For a given set of QTs, the broad sense heritability attributed to a QT locus (QTL) (say, A/a) is an increasing function of the number of traits. Thus, for some traits x and y, H(xy)2(A/a) > or = H(x)2(A/a). The last inequality holds even if y does not depend on A/a at all, but x and y are correlated within the groups AA, Aa and aa due to nongenetic factors and segregation of genes from other chromosomes. A simple relatio
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Barton, N. H. "Pleiotropic models of quantitative variation." Genetics 124, no. 3 (1990): 773–82. http://dx.doi.org/10.1093/genetics/124.3.773.

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Abstract It is widely held that each gene typically affects many characters, and that each character is affected by many genes. Moreover, strong stabilizing selection cannot act on an indefinitely large number of independent traits. This makes it likely that heritable variation in any one trait is maintained as a side effect of polymorphisms which have nothing to do with selection on that trait. This paper examines the idea that variation is maintained as the pleiotropic side effect of either deleterious mutation, or balancing selection. If mutation is responsible, it must produce alleles whic
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Rajon, Etienne, and Joshua B. Plotkin. "The evolution of genetic architectures underlying quantitative traits." Proceedings of the Royal Society B: Biological Sciences 280, no. 1769 (2013): 20131552. http://dx.doi.org/10.1098/rspb.2013.1552.

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In the classic view introduced by R. A. Fisher, a quantitative trait is encoded by many loci with small, additive effects. Recent advances in quantitative trait loci mapping have begun to elucidate the genetic architectures underlying vast numbers of phenotypes across diverse taxa, producing observations that sometimes contrast with Fisher's blueprint. Despite these considerable empirical efforts to map the genetic determinants of traits, it remains poorly understood how the genetic architecture of a trait should evolve, or how it depends on the selection pressures on the trait. Here, we devel
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Banerjee, Samprit, Brian S. Yandell, and Nengjun Yi. "Bayesian Quantitative Trait Loci Mapping for Multiple Traits." Genetics 179, no. 4 (2008): 2275–89. http://dx.doi.org/10.1534/genetics.108.088427.

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Dissertations / Theses on the topic "Trait quantitative"

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Joehanes, Roby. "Multiple-trait multiple-interval mapping of quantitative-trait loci." Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1605.

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Polineni, Pavana. "Developing a web accessible integrated database and visualization tool for bovine quantitative trait loci." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/2449.

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A quantitative trait locus (QTL) is the location of a gene that affects a trait that is measured on a quantitative (linear) scale. Many important agricultural traits such as weight gain, milk fat content and intramuscular fat in cattle are quantitative traits. There is a need to integrate genomic sequence data with QTL data and to develop an analytical tool to visualize the data. Without integration, application of this data to agricultural enterprise productivity will be slow and inefficient. My thesis presents a web-accessible tool called the Bovine QTL Viewer developed to solve this problem
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Joehanes, Roby. "Generalized and multiple-trait extensions to Quantitative-Trait Locus mapping." Diss., Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1919.

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Nyström, Per-Erik. "Quantitative trait loci in pig production /." Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://epsilon.slu.se/avh/1999/91-576-5712-2.pdf.

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Turri, Maria Grazia. "Mapping of behavioural quantitative trait loci." Thesis, University of Oxford, 2002. http://ora.ox.ac.uk/objects/uuid:89823fa1-c1d3-49e3-acb9-46da18b12245.

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Anxiety is a common disorder which affects about 25% of the population and whose pathophysiology is still poorly understood. Animal models of disease have been widely used to investigate the molecular basis of human disorders, including psychiatric illnesses. This thesis is about the study of the genetic basis of a mouse model of anxiety. I have carried out a QTL mapping study of behavioural measures thought to model anxiety. I report results from 1,636 mice, assessed for a large number of phenotypes in five ethological tests. Mice belonged to two F2 intercrosses originated by four lines gener
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Podisi, Baitsi Kingsley. "Quantitative trait loci mapping of sexual maturity traits applied to chicken breeding." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5561.

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Many phenotypes are controlled by factors which include the genes, the environment, interactions between genes and interaction between the genotypes and the environment. Great strides have been made to understand how these various factors affect traits of agricultural, medical and environmental importance. The chicken is regarded as a model organism whose study would not only assist efforts towards increased agricultural productivity but also provide insight into the genetic determination of traits with potential application in understanding human health and disease. Detection of genomic regio
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Clevinger, Elizabeth. "Mapping Quantitative Trait Loci for Soybean Quality Traits from Two Different Sources." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33468.

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Soybeans are economically and agriculturally the most important legume in the world, providing protein and oil to the food and animal feed industries and base ingredients for hundreds of chemical products. Their value could be enhanced, however, if the oil and protein content remained high and the oligosaccharide and phytate contents were lowered to make soybeans more acceptable for human and animal consumption. A soybean population of 55 families segregating for genes controlling quality traits was chosen for this study. Both parental lines have high sucrose and low stachyose. The former
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Lu, Yue. "Genetic mapping of quantitative trait loci for slow-rusting traits in wheat." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/32179.

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Doctor of Philosophy<br>Department of Agronomy<br>Guihua Bai<br>Allan K. Fritz<br>Wheat leaf rust, caused by Puccinia triticina, is an important fungal disease worldwide. Growing resistant cultivars is an effective practice to reduce the losses caused by the disease, and using slow-rusting resistance genes can improve the durability of rust resistance in the cultivars. CI13227 is a winter wheat line that shows a high level of slow-rusting resistance to leaf rust and has been studied extensively. In this research, two recombinant inbreed line (RIL) populations derived from CI13227 x Suwon (104
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Santana, Morant Dámaris. "Bayesian mapping of multiple quantitative trait loci." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0012166.

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Carlborg, Örjan. "New methods for mapping quantitative trait loci /." Uppsala : Dept. of Animal Breeding and Genetics, Swedish Univ. of Agricultural Sciences ([Institutionen för husdjurens genetik], Sveriges lantbruksuniv.), 2002. http://projkat.slu.se/SafariDokument/210.htm.

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Books on the topic "Trait quantitative"

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Camp, Nicola J., and Angela Cox. Quantitative Trait Loci. Humana Press, 2002. http://dx.doi.org/10.1385/1592591760.

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Rifkin, Scott A., ed. Quantitative Trait Loci (QTL). Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-785-9.

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Weller, Joel Ira. Quantitative trait loci analysis in animals. 2nd ed. CABI North American Office, 2009.

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Weller, J. I., ed. Quantitative trait loci analysis in animals. CABI, 2009. http://dx.doi.org/10.1079/9781845934675.0000.

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Weller, J. I., ed. Quantitative trait loci analysis in animals. CABI, 2001. http://dx.doi.org/10.1079/9780851994024.0000.

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Weller, Joel Ira. Quantitative trait loci analysis in animals. CABI Pub., 2001.

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Salinas-Garcia, Gilberto Eduardo. Mapping quantitative trait loci controlling agronomic traits in Brassica napus L. University of Birmingham, 1996.

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Burns, Malcolm James. Quantitative trait loci mapping in Arabidopsis: Theory and practice. University of Birmingham, 1997.

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Lantbruksuniversitet, Sveriges, ed. Genome analysis of quantitative trait loci in the pig. Sveriges Lantbruksuniversitet, 1997.

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Sebastian, Rachel Louise. The genetic mapping and quantitative trait analysis of Brassica Oleracea. University of Birmingham, 2000.

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Book chapters on the topic "Trait quantitative"

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Neale, David B., and Nicholas C. Wheeler. "Quantitative Trait Dissection." In The Conifers: Genomes, Variation and Evolution. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-46807-5_11.

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Cardon, Lon R. "Quantitative Trait Loci." In Behavior Genetic Approaches in Behavioral Medicine. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-9377-2_13.

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Brandenberger, Luke. "Quantitative Trait Loci (QTL)." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-47829-6_209-1.

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Knapp, Steven J. "Mapping quantitative trait loci." In Advances in Cellular and Molecular Biology of Plants. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1104-1_4.

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Knapp, Steven J. "Mapping quantitative trait loci." In Advances in Cellular and Molecular Biology of Plants. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9815-6_5.

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Xiong, Dong-Hai, Jian-Feng Liu, Yan-Fang Guo, et al. "Quantitative Trait Loci Mapping." In Osteoporosis. Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-104-8_16.

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Turner, J. Rick, Maartje Wit, Tibor Hajos, et al. "Quantitative Trait Locus (QTL)." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_716.

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Sripriya, Sarangapani, Ferdina Sharmila, Suganya Kandeepan, and Ronnie George. "Quantitative Trait for Glaucoma." In Essentials in Ophthalmology. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0884-0_30.

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Weller, Joel I. "Mapping Quantitative Trait Loci." In Bovine Genomics. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118301739.ch12.

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Simonson, Matthew A. "Quantitative Trait Locus (QTL)." In Encyclopedia of Behavioral Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_716.

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Conference papers on the topic "Trait quantitative"

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Huh, Ik-Soo, Sohee Oh, Eunjin Lee, and Taesung Park. "Compairing quantitative trait analysis to qualitative trait analysis for complex traits disease: A genome wide association study for hyperlipidemia." In 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2010. http://dx.doi.org/10.1109/bibmw.2010.5703825.

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Fu, Chen-Ping, Fernando Pardo-Manuel de Villena, and Leonard McMillan. "Quantitative trait loci mapping with microarray marker intensities." In BCB '14: ACM-BCB '14. ACM, 2014. http://dx.doi.org/10.1145/2649387.2649432.

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Beyer, Andreas, Silpa Suthram, and Trey Ideker. "Uncovering Regulatory Pathways with Expression Quantitative Trait Loci." In 2007 IEEE International Workshop on Genomic Signal Processing and Statistics. IEEE, 2007. http://dx.doi.org/10.1109/gensips.2007.4365837.

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Boone, Edward L., Karl Ricanek, and Susan J. Simmons. "Quantitative Trait Loci Analysis Using a Bayesian Framework." In 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4371053.

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Wang, Hongfei, and Xiang Zhang. "Binary Time-Series Query Framework for Efficient Quantitative Trait Association Study." In 2013 IEEE International Conference on Data Mining (ICDM). IEEE, 2013. http://dx.doi.org/10.1109/icdm.2013.42.

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Ogundijo, Oyetunji E., Dan He, and Laxmi Parida. "Performance evaluation of different encoding strategies for quantitative genetic trait prediction." In 2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE, 2015. http://dx.doi.org/10.1109/iccabs.2015.7344715.

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Cozzi, E., M. Prysak, and D. Beier. "Airway Hyperresponsiveness Quantitative Trait Linkage Analyses in Inbred and Outbred Mice." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a2749.

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Lu, Hong, and Lu Lu. "Expression quantitative trait loci and genetic regulatory network analysis of Fbn1." In INTERNATIONAL SYMPOSIUM ON THE FRONTIERS OF BIOTECHNOLOGY AND BIOENGINEERING (FBB 2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5110812.

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Dowling, Caroline. "Perfect Timing: Quantitative trait locus analysis of flowering time in Cannabis sativa." In ASPB PLANT BIOLOGY 2020. ASPB, 2020. http://dx.doi.org/10.46678/pb.20.1053029.

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High, MD, HY Cho, F. Polack, T. Wiltshire, and S. Kleeberger. "Quantitative Trait Loci Associated with Respiratory Syncytial Virus Susceptibility in Inbred Mice." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a5985.

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Reports on the topic "Trait quantitative"

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Hu, Zhiliang, James M. Reecy, and Max F. Rothschild. A Quantitative Trait Loci Resource and Comparison Tool for Pigs: PigQTLDB. Iowa State University, 2005. http://dx.doi.org/10.31274/ans_air-180814-1068.

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Tuggle, Christopher K., Yuandan Zhang, Max F. Rothschild, et al. A detailed gene map of pig chromosome 4, where the first quantitative trait locus in livestock was mapped. Iowa State University, 2004. http://dx.doi.org/10.31274/ans_air-180814-605.

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Boddicker, Nicholas J., Dorian J. Garrick, James M. Reecy, Bob Rowland, Joan K. Lunney, and Jack C. M. Dekkers. Quantitative Trait Locus on Sus scrofa Chromosome 4 Associated with Host Response to Experimental Infection with Porcine Reproductive and Respiratory Syndrome Virus. Iowa State University, 2013. http://dx.doi.org/10.31274/ans_air-180814-1255.

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